The NVIDIA RTX 4070 Ti SUPER, boasting 16GB of GDDR6X VRAM, offers ample resources for running the CLIP ViT-L/14 model, which requires only 1.5GB in FP16 precision. This leaves a significant 14.5GB VRAM headroom, ensuring smooth operation even with larger batch sizes or when running other processes concurrently. The RTX 4070 Ti SUPER's memory bandwidth of 0.67 TB/s further contributes to efficient data transfer, preventing memory bottlenecks during inference. With 8448 CUDA cores and 264 Tensor cores, the 4070 Ti SUPER is well-equipped to handle the computational demands of CLIP, leading to excellent performance.
For optimal performance with CLIP ViT-L/14 on the RTX 4070 Ti SUPER, start with a batch size of 32. Monitor VRAM usage and adjust the batch size accordingly to maximize throughput without exceeding the GPU's memory capacity. Consider using TensorRT for further optimization, as it can significantly improve inference speed by leveraging the Tensor Cores. Experiment with different precision levels (FP16 vs. INT8) to find the best balance between speed and accuracy. If you encounter any issues, reduce the batch size or try a different inference framework.